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A unified framework identifies novel links between plasma lipids and diseases from electronic medical records across large-scale cohorts
Plasma lipids are known heritable risk factors for cardiovascular disease, but increasing evidence also supports shared genetics with diseases of other organ systems. We devised a comprehensive three-phase framework to identify novel lipid-associated genes and study the relationships between lipids,...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555954/ https://www.ncbi.nlm.nih.gov/pubmed/34140684 http://dx.doi.org/10.1038/s41588-021-00879-y |
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author | Veturi, Yogasudha Lucas, Anastasia Bradford, Yuki Hui, Daniel Dudek, Scott Theusch, Elizabeth Verma, Anurag Miller, Jason E. Kullo, Iftikhar Hakonarson, Hakon Sleiman, Patrick Schaid, Daniel Stein, Charles M. Edwards, Digna R. Velez Feng, QiPing Wei, Wei-Qi Medina, Marisa W. Krauss, Ronald Hoffmann, Thomas J. Risch, Neil Voight, Benjamin F. Rader, Daniel J. Ritchie, Marylyn D. |
author_facet | Veturi, Yogasudha Lucas, Anastasia Bradford, Yuki Hui, Daniel Dudek, Scott Theusch, Elizabeth Verma, Anurag Miller, Jason E. Kullo, Iftikhar Hakonarson, Hakon Sleiman, Patrick Schaid, Daniel Stein, Charles M. Edwards, Digna R. Velez Feng, QiPing Wei, Wei-Qi Medina, Marisa W. Krauss, Ronald Hoffmann, Thomas J. Risch, Neil Voight, Benjamin F. Rader, Daniel J. Ritchie, Marylyn D. |
author_sort | Veturi, Yogasudha |
collection | PubMed |
description | Plasma lipids are known heritable risk factors for cardiovascular disease, but increasing evidence also supports shared genetics with diseases of other organ systems. We devised a comprehensive three-phase framework to identify novel lipid-associated genes and study the relationships between lipids, genotypes, gene expression and hundreds of complex human diseases from electronic Medical Records and Genomics (347 traits) and UK Biobank (549 traits) cohorts. Aside from 67 novel lipid-associated genes with strong replication, we found evidence for pleiotropic SNPs/genes between lipids and diseases across the phenome. These include discordant pleiotropy in the HLA region between lipids and multiple sclerosis and putative causal paths between triglycerides and gout, among several others. Our findings give insights into the genetic basis of the relationship between plasma lipids and diseases on a phenome-wide scale and can provide context for future prevention and treatment strategies. |
format | Online Article Text |
id | pubmed-8555954 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
record_format | MEDLINE/PubMed |
spelling | pubmed-85559542021-12-17 A unified framework identifies novel links between plasma lipids and diseases from electronic medical records across large-scale cohorts Veturi, Yogasudha Lucas, Anastasia Bradford, Yuki Hui, Daniel Dudek, Scott Theusch, Elizabeth Verma, Anurag Miller, Jason E. Kullo, Iftikhar Hakonarson, Hakon Sleiman, Patrick Schaid, Daniel Stein, Charles M. Edwards, Digna R. Velez Feng, QiPing Wei, Wei-Qi Medina, Marisa W. Krauss, Ronald Hoffmann, Thomas J. Risch, Neil Voight, Benjamin F. Rader, Daniel J. Ritchie, Marylyn D. Nat Genet Article Plasma lipids are known heritable risk factors for cardiovascular disease, but increasing evidence also supports shared genetics with diseases of other organ systems. We devised a comprehensive three-phase framework to identify novel lipid-associated genes and study the relationships between lipids, genotypes, gene expression and hundreds of complex human diseases from electronic Medical Records and Genomics (347 traits) and UK Biobank (549 traits) cohorts. Aside from 67 novel lipid-associated genes with strong replication, we found evidence for pleiotropic SNPs/genes between lipids and diseases across the phenome. These include discordant pleiotropy in the HLA region between lipids and multiple sclerosis and putative causal paths between triglycerides and gout, among several others. Our findings give insights into the genetic basis of the relationship between plasma lipids and diseases on a phenome-wide scale and can provide context for future prevention and treatment strategies. 2021-06-17 2021-07 /pmc/articles/PMC8555954/ /pubmed/34140684 http://dx.doi.org/10.1038/s41588-021-00879-y Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Veturi, Yogasudha Lucas, Anastasia Bradford, Yuki Hui, Daniel Dudek, Scott Theusch, Elizabeth Verma, Anurag Miller, Jason E. Kullo, Iftikhar Hakonarson, Hakon Sleiman, Patrick Schaid, Daniel Stein, Charles M. Edwards, Digna R. Velez Feng, QiPing Wei, Wei-Qi Medina, Marisa W. Krauss, Ronald Hoffmann, Thomas J. Risch, Neil Voight, Benjamin F. Rader, Daniel J. Ritchie, Marylyn D. A unified framework identifies novel links between plasma lipids and diseases from electronic medical records across large-scale cohorts |
title | A unified framework identifies novel links between plasma lipids and diseases from electronic medical records across large-scale cohorts |
title_full | A unified framework identifies novel links between plasma lipids and diseases from electronic medical records across large-scale cohorts |
title_fullStr | A unified framework identifies novel links between plasma lipids and diseases from electronic medical records across large-scale cohorts |
title_full_unstemmed | A unified framework identifies novel links between plasma lipids and diseases from electronic medical records across large-scale cohorts |
title_short | A unified framework identifies novel links between plasma lipids and diseases from electronic medical records across large-scale cohorts |
title_sort | unified framework identifies novel links between plasma lipids and diseases from electronic medical records across large-scale cohorts |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555954/ https://www.ncbi.nlm.nih.gov/pubmed/34140684 http://dx.doi.org/10.1038/s41588-021-00879-y |
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